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5688 courses available

Microsoft

Run container images in Azure Container Instances

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Run container images in Azure Container Instances

Units in this learning path:

• Introduction
• Explore
• Exercise Deploy Container Instance by Using Azure Cli
• Run Containerized Tasks Restart Policies
• Set Environment Variables
• Mount Azure File Share
• Knowledge Check
• Summary

Products: Azure, Azure Container Instances

Roles: Developer

Level: Intermediate

Subjects: Containers

Duration: 36 minutes

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Microsoft

Run containers on Windows Server

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Run containers on Windows Server

Units in this learning path:

• Introduction
• Define Containers
• List Differences Between Containers Vms
• Define Hyper V Containers Isolation Modes
• Explore Docker
• Prepare 2019 Host for Container Deployment
• Security Storage Networking Windows Containers
• Knowledge Check
• Summary

Products: Windows Server

Roles: Administrator, Solution Architect

Level: Intermediate

Subjects: Containers

Duration: 48 minutes

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Microsoft

Run evaluations and generate synthetic datasets

Learn how to run evaluations and generate synthetic datasets with the Azure AI Evaluation SDK.

Units in this learning path:

• Introduction
• Prepare
• Performance Quality Metrics
• Risk Safety Metrics
• Track Evaluations Azure AI Studio
• Custom Evaluator Prompty
• Evaluate Endpoint
• Generate Synthetic Dataset
• Knowledge Check
• Summary

Products: Azure, Azure Sdks, Foundry Tools

Roles: Developer

Level: Beginner

Duration: 58 minutes

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Microsoft

Run governed AI workloads with Microsoft Foundry

Implement enterprise AI governance with Microsoft Foundry by understanding the governance framework, configuring policy‑driven controls, enforcing quotas and safeguards, and applying hands‑on exercises to balance compliance, security, cost management, and innovation.

Units in this learning path:

• Introduction
• Understand Microsoft Foundry Governance Framework
• Configure Governance Policies Controls
• Exercise Implement Governance Policies
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: Administrator, AI Engineer

Level: Intermediate

Subjects: Infrastructure

Duration: 47 minutes

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Microsoft

Run high-performance computing (HPC) applications on Azure

gear-duotone-light-full Software Development
Azure HPC is a purpose-built cloud capability for HPC & AI workload, using leading-edge processors and HPC-class InfiniBand interconnect, to deliver the best application performance, scalability, and value. Azure HPC enables users to unlock innovation, productivity, and business agility, through a highly available range of HPC & AI technologies that can be dynamically allocated as your business and technical needs change. This learning path is a series of modules that help you get started on Azure HPC - you can choose topics you are most interested in or progress through each of them one by one.

Modules in this learning path:

• Azure Cyclecloud High Performance Computing
• Customize Clusters Azure Cyclecloud
• Choose Service Level Azure Netapp Files Hpc Applications
• Improve Azure Netapp Files Performance Hpc Eda Best Practices
• Optimize Hpc Application Azure Virtual Machines Series
• Troubleshoot Tightly Coupled Hpc Apps

Products: Azure, Azure Batch, Azure Virtual Machines, Azure Cyclecloud, Azure Netapp Files, Azure Managed Lustre

Roles: Administrator, Developer, Solution Architect, Student, Technology Manager, Functional Consultant

Level: Beginner, Intermediate

Subjects: Cloud Computing, Infrastructure

Duration: 309 minutes

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Microsoft

Run pipelines in Azure Machine Learning

sparkles-duotone-light-full Artificial Intelligence
Learn how to create and use components to build pipeline in Azure Machine Learning. Run and schedule Azure Machine Learning pipelines to automate machine learning workflows.

Units in this learning path:

• Introduction
• Create Components
• Create Pipeline
• Run Pipeline Job
• Exercise Run Pipeline Job
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 40 minutes

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Microsoft

Run training scripts and track models with MLflow in Azure Machine Learning

sparkles-duotone-light-full Artificial Intelligence
Learn how to run scripts as command jobs and track model training with MLflow in Azure Machine Learning.

Units in this learning path:

• Introduction
• Convert Notebook Script
• Run Script Command Job
• Use Parameters Command Job
• Track Metrics
• View Metrics Evaluate Models
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 49 minutes

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Amazon Web Services

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) - Supplemental Lab Playlist

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This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS). Students of that class may find the labs in this playlist to be…
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Amazon Web Services

Running High Performance Applications with Amazon FSx

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"Welcome to the Running High Performance Applications with Amazon FSx course! In this course, you learn about implementing Amazon FSx file systems when building and running compute and data-intensive applications. First, you review the ""WHY"" and…"
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Amazon Web Services

SaaS Access Control Using Amazon Verified Permissions

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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Amazon Web Services

SaaS Business Fundamentals

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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Amazon Web Services

SaaS Technical Fundamentals

chart-line-duotone-light-full Data Science
This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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